M4DT SIM Conference 2025

Ulises Olivares Pinto is a Full-Time Professor at the School of Higher Education (Escuela Nacional de Estudios Superiores, ENES) Juriquilla of the National Autonomous University of Mexico (UNAM). He is a researcher in data analysis and artificial intelligence (AI) and a member of the National System of Researchers (SNII, Level I). His doctoral training in Computer Science has supported a career focused on the development of technological solutions with social impact, particularly in the areas of health, education, and the environment. He has served as a consultant in projects with national and international institutions, including the Food and Agriculture Organization of the United Nations (FAO) and state governments, implementing strategies based on AI and emerging technologies.

Throughout his career, Olivares has led more than 20 funded research and collaboration projects, combining numerical modeling, parallel programming, and machine learning algorithms to address national challenges such as predicting school dropout, automated analysis of medical images, and environmental monitoring using Internet of Things (IoT) technologies. His academic output includes publications in indexed journals, granted patents, registered software, and web platforms designed to support informed decision-making. He is currently engaged in initiatives that apply AI to strengthen governmental processes in the state of Querétaro.

Beyond his scientific contributions, Olivares has played a key role in educational innovation and the training of highly specialized human resources. He has participated in the design of virtual laboratories, digital teaching materials, and training programs in data science and AI for governments and research centers. His teaching activities are complemented by thesis supervision, academic mentoring, and participation in international scientific networks, consolidating a vision that connects artificial intelligence with sustainable development, computational infrastructure, and public service.

Shahin Tabandeh coordinates the EPM 22DIT02 FunSNM project on sensor network metrology at VTT MIKES. He is a member of the BIPM Consultative Committee for Thermometry (CCT) and its Working Groups for Environment (CCT-WG-Env) and Humidity (CCT-WG-Hu), and the Digitalization Task Group (CCT-TG-Dig). Additionally, he serves as the EURAMET TC-T contact person and is an active member of the TC-T strategy working group, TC-T Humidity sub-committee, and TC-T Digitalization Task Group.

Alexis is a Mechatronics Engineer and a specialist in Artificial Intelligence. After graduating from Instituto Tecnológico de Celaya, he began his career at CENAM, developing devices to classify solar simulators. Pursuing a Master's in AI sharpened his automation skills, leading him back to CENAM's Artificial Intelligence Group. He currently leads metrology-focused AI projects, including the development of a specialized LLM for customer support. This work streamlines client interactions and provides colleagues with the freedom to focus on advanced technical work, significantly enhancing overall operational efficiency.

Giacomo Lanza is the Coordinator for Research Data Management at PTB. His main action fields are the interaction of metrology and RDM; the development of metadata schemas and terminologies; the development, harmonisation and implementation of (machine-actionable) data management plans, in particular for international projects. He coordinates the project TC-IM 1449 "Research data management in European metrology"; he is active in the German initiative for a National Research Data Infrastructure (NFDI) and in the user community of the Research Data Management Organiser (RDMO). In his previous employment as a researcher, he dealt with the estimation of carbon stability and greenhouse gas emissions in agriculture and animal husbandry; previously he dealt with optical spectroscopy (Raman) of intrinsic fluorescent proteins.

Gasca graduated on Physicist and Mathematics and completed credits for Master on Computer Science at IPN, Mexico, obtained a PhD on Mathematics and Statistics at Massachusetts in a joint project with NIST, USA. Worked as scientists for CENAM Mexico for 12 years advancing in digital data processing, digital twins, metrological data analysis tools, he was CENAM’s delegate for SIM-WG13 on statistics and uncertainty 2013-2025, he is author of training workshops for uncertainty estimation in Certified Reference Materials at CENAM and several R language packages for metrology data. Chair of SIM-WG14 M4DT 2020-2024, cochair of IMEKO-TC6 from 2022. He currently works at PTB as special project coordinator for the Digital Metrology Expert.

Itzel Dominguez Mendoza is an Analyst–Programmer at the National Metrology Center (CENAM) of Mexico, where she develops and supports internal software applications that enhance institutional operations. She is a member of CENAM’s Digital Transformation Team, collaborating within the Information Digitalization, Process Digitalization, and Artificial Intelligence groups. Her work focuses on integrating technological solutions to modernize metrological processes and improve data management. She has actively participated in projects of the Inter-American Metrology System (SIM), contributing to the advancement of digital transformation and technical cooperation initiatives across the region.

Julia Neumann holds a bachelor’s degree in Spanish and in Library -/Information Science. In 2018 she completed her master’s degree in Information Science with a focus on information retrieval and research data management. The same year she started working as a research associate at the Physikalisch-Technische Bundesanstalt (PTB) located in Berlin. Julia Neumann is an employee of the department 9.4 “Metrology for Digital Transformation”. She is developing and supporting (inter)national digital workflows which apply information retrieval methods, semantics and natural language processing. She has designed concepts of a cross-domain dynamic controlled vocabulary for metrology. Julia Neumann is a member of the task group on metrological semantics at the CIPM Forum on Metrology and Digitalization (CIPM Forum-MD).

Maik Liebl is the Coordinator of the Competence Center for AI and Metrology at the Physikalisch-Technische Bundesanstalt (PTB). He studied Biomedical Engineering at the Technical University of Ilmenau, where he also completed his PhD in this field. In addition to leading the Competence Center, he coordinates the development of an online testing platform for AI algorithms at PTB and contributes to the AI Standardization

Roadmap through his work on DIN SPECs 92006 and 92007 concerning testing tools and reference datasets, the latter of which is coordinated by PTB.

Anupam Prasad Vedurmudi is a researcher in the field of sensor network metrology at the Physikalisch-Technische Bundesanstalt (PTB) in Berlin. He received his PhD in Physics at the Technical University of Munich (TUM). He currently leads the work package on semantics and software for large transient networks as part of the EURAMET-funded project FunSNM (Fundamental Principles of Sensor Network Metrology). His responsibilities include the coordination of activities related to the development of open-source software packages to incorporate the generic methods developed in the project and developing methods for the automatic integration of semantic information such as data quality metrics. Prior to this he contributed to the development of a data quality ontology and uncertainty aware interpolation methods to the GEMIMEG-II project.

He holds a bachelor's degree in Electrical Engineering (1989), and PhD in Electrical Engineering (2003), all from the Pontifical Catholic University of Rio de Janeiro. Since 2008, has been a research technologist in metrology at the National Institute of Metrology, Standardization, and Industrial Quality (INMETRO). He has experience in Electrical Engineering, with an emphasis on Electromagnetic Theory, Microwaves, Wave Propagation, and Antennas, working primarily on the following topics: Measurements in broadcasting systems, wireless broadband access systems, 5G, and the Internet of Things; and Metrology for Digital Transformation. Now he is advisor of Digital Transformation in Scientific Metrology Directory in Inmetro.